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Deep Learning for Fluid Simulation and Animation: Fundamentals, Modeling, and Case Studies

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This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost.

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This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost.

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Book Format

Hardcover, Softcover

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Book information

Edition
1st Edition
ISBN [Softcover]
9783031423321
Publisher
Springer
Year
2023
Pages
XII, 164 p.
Series Title
SpringerBriefs in Mathematics
Language
English
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